CN109690200A - Digital intelligent energy conserving system, methods and procedures - Google Patents

Digital intelligent energy conserving system, methods and procedures Download PDF

Info

Publication number
CN109690200A
CN109690200A CN201680089192.5A CN201680089192A CN109690200A CN 109690200 A CN109690200 A CN 109690200A CN 201680089192 A CN201680089192 A CN 201680089192A CN 109690200 A CN109690200 A CN 109690200A
Authority
CN
China
Prior art keywords
room
enthalpy
air
air conditioning
digital intelligent
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN201680089192.5A
Other languages
Chinese (zh)
Inventor
三轮和夫
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Technomirai Co Ltd
Original Assignee
Technomirai Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Technomirai Co Ltd filed Critical Technomirai Co Ltd
Publication of CN109690200A publication Critical patent/CN109690200A/en
Pending legal-status Critical Current

Links

Classifications

    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24HEATING; RANGES; VENTILATING
    • F24FAIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00Control or safety arrangements
    • F24F11/30Control or safety arrangements for purposes related to the operation of the system, e.g. for safety or monitoring
    • F24F11/46Improving electric energy efficiency or saving
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24HEATING; RANGES; VENTILATING
    • F24FAIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00Control or safety arrangements
    • F24F11/62Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B15/00Systems controlled by a computer
    • G05B15/02Systems controlled by a computer electric
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24HEATING; RANGES; VENTILATING
    • F24FAIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F2110/00Control inputs relating to air properties
    • F24F2110/10Temperature
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24HEATING; RANGES; VENTILATING
    • F24FAIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F2110/00Control inputs relating to air properties
    • F24F2110/20Humidity
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24HEATING; RANGES; VENTILATING
    • F24FAIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F2110/00Control inputs relating to air properties
    • F24F2110/50Air quality properties
    • F24F2110/65Concentration of specific substances or contaminants
    • F24F2110/70Carbon dioxide
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24HEATING; RANGES; VENTILATING
    • F24FAIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F2120/00Control inputs relating to users or occupants
    • F24F2120/10Occupancy
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24HEATING; RANGES; VENTILATING
    • F24FAIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F2140/00Control inputs relating to system states
    • F24F2140/60Energy consumption
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02BCLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
    • Y02B30/00Energy efficient heating, ventilation or air conditioning [HVAC]
    • Y02B30/70Efficient control or regulation technologies, e.g. for control of refrigerant flow, motor or heating

Landscapes

  • Engineering & Computer Science (AREA)
  • General Engineering & Computer Science (AREA)
  • Combustion & Propulsion (AREA)
  • Mechanical Engineering (AREA)
  • Chemical & Material Sciences (AREA)
  • Physics & Mathematics (AREA)
  • Mathematical Physics (AREA)
  • Signal Processing (AREA)
  • Fuzzy Systems (AREA)
  • General Physics & Mathematics (AREA)
  • Automation & Control Theory (AREA)
  • Air Conditioning Control Device (AREA)
  • Ventilation (AREA)

Abstract

The present invention provides digital intelligent energy conserving system, the methods and procedures that room air adjusting control can be easily and securely executed with low cost.Digital intelligent energy conserving system (100) includes: enthalpy computing unit (121), inputs the temperature and humidity of room air, and the input temp based on room air and hygrometer can be regarded as the enthalpy of total humid air calorific value for room air;Room Population size estimation device (122), the number in room is estimated based on the enthalpy of the room air of calculating;With air conditioning control unit (120), air conditioning is controlled based on the number in the enthalpy and room by the room air calculated.

Description

Digital intelligent energy conserving system, methods and procedures
Technical field
The present invention relates to digital intelligent energy conserving systems, methods and procedures.
Background technique
Energy relevant to air conditioning accounts for about whole building facility (such as commercial facility, complex, hotel, hospital, big , terminal, airport, cultural facility, market place builet below the ground, office and house etc.) consumption energy it is general, promote and air conditioning Relevant energy conservation (hereinafter referred to as energy saving) has very big contribution to the energy conservation of building facility.Therefore, air conditioning and heat source system It needs economically and efficiently to operate interior using form execution, and in order to achieve this it is needed real-time estimation Indoor Thermal Load.Up to the present, from the viewpoint of energy conservation relevant to air conditioning, it has been proposed that many thermic load estimation dresses It sets.The example of proposition includes the example prepared thermic load mode in advance as standard and execute thermic load estimation.
Patent document 1 describes a kind of thermic load estimation device, and the history electric power for assembling various devices in a room disappears The electric power of consumption, the thermic load mode being made of the time series maximum heating load in room and the various devices in room disappears Consumption is input into the thermic load estimation device, and the thermic load estimation device be based on history power consumption, thermic load mode and Thermic load of the power consumption in corresponding moment estimation room, and the thermic load value of the result output estimation as estimation.Specially The infrared sensor that enters and leaves and/or camera shooting of the thermic load estimation device described in sharp document 1 by using detection people The image procossing of machine detects the number in room (the 0079th section).
[reference citation list]
[patent document]
[patent document 1] JP2015-152179A
Summary of the invention
Technical problem
However, this conventional thermic load estimation device is configured as passing by infrared sensor, video camera and CO2 concentration Sensor estimates the number in room, to need sensor and video camera when grasping the number in room, this need it is high at This.In order to accurately grasp the number in room, multiple sensors and video camera are not only needed, but also is needed based on the sensing The determination entered and left etc. is handled to device information real-time high-precision, which increase costs.Even if room can be grasped accurately In number, people also may include children, it is thus impossible to always estimate that accurately heat is negative based on the number grasped in room Lotus.
Room air can be easily and securely executed with low cost it is an object of the present invention to provide one kind adjust control The digital intelligent energy conserving system of system, methods and procedures.
Solution
Digital intelligent energy conserving system according to the present invention includes: enthalpy calculating device, and the enthalpy calculating device inputs Interior Space The temperature and humidity of gas, and the input temp based on room air and hygrometer can be regarded as total humid air calorific value for room air Enthalpy;And air conditioning controller with function part, the air conditioning controller with function part is based on the Interior Space calculated by the enthalpy calculating device The enthalpy of gas controls air conditioning.
With this configuration, air conditioning control can be changed according to the enthalpy of calculated room air, and can be with Realize energy conservation.
The energy saving and logical of air conditioning may be implemented in the air conditioning controller with function part for controlling air conditioning and ventilation based on enthalpy The energy conservation of wind.
Digital intelligent energy conserving system includes: room Population size estimation device, based on the Interior Space calculated by enthalpy calculating device The enthalpy of gas estimates the number in room;, can be mostly or few according to the number in room with air conditioning controller with function part, lead to The number crossed in the room calculated according to room Population size estimation device controls air conditioning, and to change air conditioning control, this makes Comfortable air conditioning can be carried out with least necessary energy by obtaining.Furthermore it is possible to easily and securely execute room with low cost Interior air conditioning control.
Digital intelligent energy conserving system includes the CO2 measurement of concetration device of CO2 concentration in measuring chamber, room Population size estimation device Thermic load can more accurately be estimated by using the CO2 concentration that CO2 measurement of concetration device measures.
When the input temp of room air is more than set temperature, air conditioning controller with function part can be by releasing its control Cosily to control environment without excessively energy conservation.
Digital intelligent power-economizing method according to the present invention includes: that enthalpy calculates step: the temperature and humidity of room air is inputted, And input temp and humidity based on room air calculate the enthalpy of total humid air calorific value as room air;And control Step: air conditioning is controlled based on the enthalpy of the room air calculated in step is calculated in enthalpy.
In addition, so that computer is worked as digital intelligent energy conserving system the present invention provides a kind of program, the digital intelligent Energy energy conserving system includes: enthalpy calculating device, the temperature and humidity of the enthalpy calculating device input room air, and is based on Interior Space The input temp and hygrometer of gas can be regarded as the enthalpy of total humid air calorific value for room air;And air conditioning controller with function part, institute Air conditioning controller with function part is stated based on the enthalpy of the room air calculated by the enthalpy calculating device to control air conditioning.
Beneficial effects of the present invention
According to the present invention it is possible to based on the enthalpy calculated from room temperature and humidity with inexpensive easily and securely control room Interior air conditioning.
Detailed description of the invention
Fig. 1 is the block diagram for showing the configuration of digital intelligent energy conserving system of embodiment according to the present invention.
Fig. 2 is the figure for showing the configured in one piece of digital intelligent energy conserving system of embodiment according to the present invention.
Fig. 3 is to show the air conditioning Energy Saving Control of the digital intelligent energy conserving system of embodiment according to the present invention to handle Flow chart.
Specific embodiment
Hereinafter, realization the embodiment of the present invention is described in detail with reference to the attached drawings.
(embodiment)
Fig. 1 is the block diagram for showing the configuration of digital intelligent energy conserving system of embodiment according to the present invention.
The present embodiment is applied to the example by computer implemented digital intelligent energy conserving system, and the computer management is such as The energy of the electric power consumed between floors in the best condition etc, and promote energy conservation.
In the present invention, " interior " mean the inside of whole building, the inside of each floor, the apparatus of air conditioning or The partial region of non-subregion in each district system and room of ventilation equipment.
As shown in Figure 1, digital intelligent energy conserving system 100 is mounted in the building as energy conservation object.
Digital intelligent energy conserving system 100 includes air-conditioning 101, heat power supply device 102, illumination (lighting apparatus) 103, other equipment 104, the temperature sensor 111 for detecting indoor air temperature, the humidity sensor 112 for detecting indoor air humidity, detection CO2 are dense The CO2 concentration sensor 113 (CO2 measurement of concetration device) of degree, air conditioning control unit 120 (air conditioning controller with function part), Enthalpy computing unit 121 (enthalpy calculating device), room Population size estimation unit 122 (room Population size estimation device), database 123, with And air conditioning control device 131 (air conditioning controller with function part).In the database 123, indoor heat load mode 123a is stored With indoor maximum power consumption data 123b.
Air conditioning control unit 120, enthalpy computing unit 121, room Population size estimation unit 122 and database 123 are by all As the Operations Analysis 110 of personal computer is constituted.Operations Analysis 110 includes CPU (central processing unit) etc., and Whole system is controlled by executing digital intelligent energy conservation program and whole system is made to be used as digital intelligent energy conserving system.
Air conditioning control device 131 receives the controlling value and control condition sent from air conditioning control unit 120, and Control includes air-conditioning 101 and the control destination apparatus of heat power supply device 102 etc..
<power consumption>
The watt-hour meter (not shown) of the power consumption of measurement air-conditioning is installed in air-conditioning 101, is pacified in heat power supply device 102 The watt-hour meter (not shown) of power consumption equipped with measurement heat power supply device is equipped with measurement illuminating power consumption in illumination 103 Watt-hour meter (not shown), and the watt-hour meter that the power consumption for measuring other equipment is equipped in other equipment 104 (is not shown Out), these watt-hour meters measure the power consumption of related device/equipment.The corresponding watt-hour meter measured value obtained is transferred to air Regulation unit 120.It is sent out by the power consumption in the building of pulse detector 10 (referring to Fig. 2, be described later on) measurement It is sent to air conditioning control unit 120.It is combined with air-conditioning 101, the outside air processing equipment as ventilation equipment can be provided. In this case, the ventilation quantity of outside air processing equipment, that is, the outside air amount flowed into is also by air conditioning control unit 120 controls.
<thermic load mode and maximum heating load>
Indoor heat load mode 123a be based on such as calculation of Heat Load table prepare same day interior maximum heating load when Between sequence data.When according to the external air conditions of such as atmospheric temperature and sunshine and such as indoor floor area, capacity, outer When wall construction body, number and the indoor conditions of illumination and other thermic loads (sunshine load etc.) heat load calculation, reference thermal is negative Lotus computational chart.In design air adjustment equipment usually using calculation of Heat Load table, therefore, provided in computational chart indoor maximum Thermic load.
Indoor maximum power consumption 123b is based on air-conditioning 101, heat power supply device 102, illumination 103 and other equipment 104 The total value of the maximum power consumption of the various devices of the indoor location of the calculating such as rated power.Here, indoor heat load mode 123a is prepared based on calculation of Heat Load table, however, without being limited thereto, when being mounted on the power consumption of indoor various devices most When bigization, it is only necessary to be thermic load mode.
The carry calculation of target construction is as follows.
(1) configuration of the calculating about the place capacity of building, electrical equipment and mechanical equipment holds amount and type by interior Portion and external factor determine, such as use purpose, function, scale and position etc..
(2) energy value that electrical equipment and mechanical equipment consume in building is accommodated and is used in the maximum of building When the maximum operation of aspect.For climatic phenomenon, the energy value in midsummer and midwinter is maximized, and in terms of the time, energy value It is maximized on daytime and midnight.
(3) capacity of the air conditioning and ventilation equipment that are mounted in target construction is also calculated.The load of ventilation equipment Depending on the number etc. in building, and by the load in estimation actual use situation, surplus is calculated.
For the capacity of electrical equipment or mechanical equipment in building, peak load value is set, which is By the desired value for amounting to the maximum energy value and the capacity in view of estimations such as aging and layout changes to be consumed in building Come what is obtained.
<sensor>
Temperature sensor 111 is installed indoors, and detects the temperature of room air and the temperature is input to operation control Unit 110 processed.
Humidity sensor 112 is installed indoors, and detects the humidity of room air and the humidity is input to operation control Unit 110 processed.
CO2 concentration sensor 113 is installed indoors, and measures the CO2 concentration in air.In the present embodiment, not The number in room is estimated in the case where using CO2 concentration sensor 113, so that CO2 concentration sensor 113 is for the system It is not required for configuration.
<enthalpy computing unit 121>
Total humid air heat that input temp and hygrometer of the enthalpy computing unit 121 based on room air be can be regarded as room air The enthalpy (also referred to as specific enthalpy) of value.Enthalpy in the present embodiment indicates the enthalpy that 1kg substance (air) has, and the unit of enthalpy is (kJ/kg).
Table 1 shows the relationship between temperature, humidity and enthalpy by way of example.Enthalpy is indicated by weighting absolute humidity.
[table 1]
Table 1
<room Population size estimation unit 122>
Number in enthalpy estimation room of the room Population size estimation unit 122 based on room air.Room Population size estimation unit 122 estimate the number in room by using the enthalpy calculated according to temperature and humidity.
Enthalpy depends on the room number of every floor area, therefore for each room, various effective strengths and phase in room The relationship between enthalpy between seasonable is previously recorded in table, and is based on the table, and the people in room can be estimated from corresponding enthalpy Number.Actually, it may occur however that number and enthalpy in mistake and room are not one-to-one corresponding relationships, however, in room Substantially number can be estimated from corresponding enthalpy.
Table 2, table 3 and table 4 show the detailed example of temperature (DEG C), humidity (%) and enthalpy (kJ/kg D.A.).
Table 2 shows the detailed example of the vacation in some shop in 2015.Vacation is calendar vacation, such as Saturday, star Phase day, public holiday and state determine vacation (New year holidays etc.).Heating period and April for December to March to November for cold period, Show the detailed example of 9 points to 21 points every time of temperature (DEG C), the monthly average value of humidity (%) and enthalpy (kJ/kg D.A.).For " average value " of warm period indicates the average value of each heating period, indicates each average value for cold period for " average value " of cold period, " annual mean " indicates annual average value, and " average value " indicates each average value." average value " table of three lowermost row The average value shown from 9 points to 21 point.In general, client often increases on vacation, and the number in room also will increase.
Table 3 shows workaday detailed example.Working day is the date other than vacation.
Table 4 shows each vacation and workaday weighted average (weighting by number of days)." vacation/working day " refers to " average value (table 2)/every workday average value (table 3) of each vacation."
[table 2]
Table 2
Avr: average
AnnAvr: annual
Tem: temperature
Hum: humidity
Enth: enthalpy
[table 3]
Table 3
Avr: average
AnnAvr: annual
Tem: temperature
Hum: humidity
Enth: enthalpy
[table 4]
Table 4
Avr: average
H/W: vacation/working day
Holy: vacation
Week: working day
AnnAvr: annual
Tem: temperature
Hum: humidity
Enth: enthalpy
<air conditioning control unit 120>
Air conditioning control unit 120 obtains the indoor heat load mode 123a accumulated in the database 123 and interior most Big power consumption 123b, various equipment (air-conditioning 101, heat power supply device 102, illumination 103 and other equipment 104) power consumption, Number in the enthalpy that is calculated by enthalpy computing unit 121 and the room calculated by room Population size estimation unit 122, and be based on These data estimate indoor heat load, and calculate the controlling value and control condition for controlling air conditioning.
Specifically, air conditioning control unit 120 can directly control air conditioning according to the enthalpy of room air.People from room Number estimation unit 122 is based on the number in enthalpy estimation room, and air conditioning control unit 120 is also based in room Estimated number controls air conditioning.Air conditioning control unit 120 is changed by being big or small according to the number in room Changing air adjusts control, and can carry out comfortable air conditioning with the smallest necessary energy.
Fig. 2 is the figure for showing the configured in one piece of digital intelligent energy conserving system.
As shown in Fig. 2, pulse detector 10 is connected to the watt-hour meter for the Utilities Electric Co. being mounted in high pressure receiving device 1 VCT, and indicate that the pulse detector 10 of power consumption is connected to digital intelligent energy conserving system 100.Remote monitoring device 70 It is connected to digital intelligent energy conserving system 100.
By disconnect switch Z-DS and high-pressure vacuum breaker VCB, received from transformer Tr1, Tr2, Tr3, Tr4 and high pressure The breaker MCB of equipment 1 is supplied by panel 72,74,76,78 and breaker MCB to each load equipment 82,84,86,88 Electricity.Digital intelligent energy conserving system 100 is also connected to corresponding load equipment 82,84,86,88, and according to the kind of load equipment Class executes number and simulation control and monitoring etc. to load equipment.Load equipment includes lighting apparatus, corresponding socket, air Adjustment equipment and mechanical equipment etc..
Remote monitor device 70 can monitor energy conservation to/from 100 transmissions of digital intelligent energy conserving system/reception information Target device controls and operates state and obtains daily and monthly data.In addition, remote monitor device can also be by section It can the next long-range more newly control information of the various control information of target device transmission.
In the following, it is described that the operation of the digital intelligent energy conserving system 100 configured as described above.
Fig. 3 is the flow chart for showing the air conditioning Energy Saving Control processing of digital intelligent energy conserving system 100.The process passes through Digital intelligent energy conservation program is executed by the Operations Analysis 110 (referring to Fig. 1) of digital intelligent energy conserving system 100 to execute.
Firstly, in step sl, (the referring to Fig. 1) input of air conditioning control unit 120 is by (the reference of temperature sensor 111 Fig. 1) the temperature of the room air detected.
In step s 2, the interior that the input of air conditioning control unit 120 is detected by humidity sensor 112 (referring to Fig. 1) The humidity of air.
In step s3, input temp and humidity of the enthalpy computing unit 121 (referring to Fig. 1) based on room air calculate enthalpy (total humid air calorific value of room air).
In step s 4, room Population size estimation unit 122 (referring to Fig. 1) is based on the people in calculated enthalpy estimation room Number.
Enthalpy is index relevant to thermic load.In outside air thermic load, human body thermic load, building thermic load and illumination In thermic load, for outside air thermic load and human body thermic load (it changes according to the number in room), finger is obtained ahead of time Mark.Therefore, room Population size estimation unit 122 can estimate the number in room based on enthalpy relevant to thermic load.For example, pre- The relationship between effective strength and enthalpy is first made table, and can be by reference to the table from corresponding enthalpy estimated number.
Since air conditioning environment is different between heating and cooling, it is therefore desirable for executing air tune according to different indexs Section control.For example, if assuming that enthalpy and number in room execute control in the case where having linear dependence each other, Number under conditions of for cold period temperature be 26.0 DEG C, humidity 50.0%, enthalpy are 55.4kJ/kgD.A. in room is 0.20 People/square metre and room under conditions of heating period temperature is 22.0 DEG C, humidity 40.0%, enthalpy are 38.8.4kJ/kgD.A. In number be 0.20 people/square metre in the case where, if enthalpy be 44.3 (=55.4 × 0.8) kJ/kgD.A., in cooling supply Phase, the Population size estimation in room be 0.16 (0.20 × 0.8) people/square metre, if enthalpy is 34.9 (=38.8 × 0.9) kJ/ KgD.A., then the Population size estimation in heating period, room be 0.18 (0.20 × 0.9) people/square metre.
For the place capacity of the apparatus of air conditioning, the maximum total heat duties capacity of building is calculated, by for example following It provides:
Total heat duties capacity=outside air thermic load 50Wm2+ people thermic load 30Wm2+ building thermic load 20W m2+ light heat load 30Wm2
Customer quantity into building (such as commercial facility etc.), after few rigid of customer quantity opens the door when Between, the value between morning and evening and customer quantity numerous rush hour it is different, the value between vacation etc. on weekdays It is different.Automatically-controlled door at inlet/outlet has the function of opening about 5 to 13 seconds, this depends on the quantity of customer, when customer enters Shop, when being then shut off, outside air is almost proportionally flowed into the customer quantity of entrance from the door of inlet/outlet, this The outside air thermic load of high temperature and high humility is generated for cold period, and generates the outside air of low temperature and low humidity in heating period Thermic load.This thermal energy influences the enthalpy of building sale room, and influences to sell the customer quantity in room.
The apparatus of air conditioning capacity of the environment of the sale room in commercial facility is also calculated by calculating total heat duties.When For cold period temperature is 26 DEG C, humidity 50%, enthalpy are 54.2kJ/kgD.A. condition and heating period temperature be 22 DEG C, it is wet The condition that degree is 40%, enthalpy is 38.8kJ/kgD.A. is set as the standard of place capacity operation, this becomes the apparatus of air conditioning Basic equipment capacity.As the precondition for calculating building total heat duties, it is contemplated that the building as coefficient sells the every of room The number in a region is usually every 1 square metre of 0.2 people of sale chamber region.The air capacity of one personal breathing is 20 cubes per hour Rice.
Then, number and necessary outside air amount when building sale room area is 2000 square metres, in room It is as follows.
Number=(2000 square metres of sales region × 0.2 people)=400 people in room
Respiratory capacity, i.e., necessary outside air amount is:
Outside air amount=(400 people × 20m3/ h)=8,000m3/h
It is, necessary outside air amount is 8,000m if the number in room is 4003/h.For cold period Sell room temperature be 26 DEG C, the condition that humidity 50%, enthalpy are 55.4kJ/kgD.A. and heating period sale room temperature be 22 DEG C, humidity 40%, enthalpy be 38.8kJ/kgD.A. condition be used as standard.
According to these standards, the indoor CO2 value of building is set as 900ppm, this is safe CO2 value.
For example, for cold period, the enthalpy 55.4kJ/kgD.A. of interior of building detected it is corresponding with room number 400, Outdoor air amount 8,000m3/ h, CO2 value 900ppm.For example, if the enthalpy detected is 40kJ/kgD.A.,
Then CO2 coefficient=40kJ/kgD.A./55.4kJ/kgD.A.=0.722
It is the coefficient of performance of outside air processing equipment (i.e. ventilation equipment),
CO2 value=(0.722 × 900ppm)=650ppm, and
Outside air amount=normal external air capacity 8,000m3× CO2 coefficient 0.722=5,776m3
It is necessary, so
Control amount is reduced:
Control amount=(8,000m3-5,776m3)=2,224m3, i.e.,
Necessary outside air amount reduces so more, and the control coefrficient of outside air processing equipment provides as follows:
Control coefrficient=coefficient 1.0- coefficient of performance 0.722=0.278
Which show the energy conservations that may be implemented relative to outside air processing equipment.Identical arithmetic operation is suitable for heating Phase.
As described above, in the present embodiment, entirely for cold period and heating period, based in the enthalpy calculated room detected Number and necessary outside air amount, and calculated in real time for the control coefrficient of outside air processing equipment, air Adjustment equipment is also such.
For the operation based on enthalpy verifying CO2 value, for example, when detecting above-mentioned enthalpy 40kJ/ in place by CO2 sensor When CO2 value kgD.A., if result is 650ppm, the control of the outside air processing equipment of related sale room in building Coefficient are as follows:
Control coefrficient=(the CO2 value 650ppm that standard CO2 value 900ppm- is detected)/standard CO2 value 900ppm= 0.278
This illustrates the energy conservations that may be implemented relative to outside air processing equipment and can relative to the apparatus of air conditioning With the energy conservation of realization.
Digital intelligent energy conserving system 100 may include CO2 concentration sensor 113, and can be based on CO2 concentration Enthalpy supplements the estimation of number in room.
In step s 5, air conditioning control unit 120 obtains indoor heat load mode.In detail, air conditioning controls Unit 120 reads indoor heat load mode 123a from database 123.As described above, providing in calculation of Heat Load table in event Etc. application outside air thermic load, people's thermic load, building thermic load, light heat load and device thermic load etc., and Read the indoor heat load mode 123a of the summation as these loads.Indoor heat load mode 123a is that indoor maximum heat is negative Lotus.
In step s 6, air conditioning control unit 120 obtains indoor power consumption.In detail, it calculates and is mounted on room In various equipment maximum power consumption.For example, as shown in Figure 1, as installation air-conditioning 101, heat power supply device 102,103 and of illumination When other equipment 104, total nominal power consumption of these devices is defined as indoor maximum power consumption of interest.Air tune It saves control unit 120 and obtains air-conditioning 101, heat power supply device 102, the respective power consumption for illuminating 103 and other equipment 104, with And the power consumption from pulse wave detector 10 (referring to Fig. 2).
In the step s 7, air conditioning control unit 120 obtains the indoor heat load mode accumulated in the database 123 123a and indoor maximum power consumption 123b, various devices (air-conditioning 101, heat power supply device 102, illumination 103 and other equipment 104) Power consumption, the people in the enthalpy that is calculated by enthalpy computing unit 121 and the room calculated by room Population size estimation unit 122 Number, and based on these data, estimate indoor heat load, and calculate the controlling value and control condition for controlling air conditioning. The indoor heat load value of estimation is sent air conditioning control device 131 by air conditioning control unit 120, and terminates the process Processing.Air conditioning control device 131 receives the controlling value and control condition sent from air conditioning control unit 120, and Control includes air-conditioning 101 and the control destination apparatus of heat power supply device 102 etc..
In this way, air conditioning control unit 120 is consumed by using indoor heat load mode 123a, indoor maximum power 123b, the power consumption of various devices and from the current persons count in the room that room Population size estimation unit 122 obtains, calculating estimates The indoor heat load value of meter.Indoor heat load is heavily dependent on the number in room, therefore in the present embodiment, room Population size estimation unit 122 estimates the number in room based on enthalpy, and air conditioning control unit 120 is by utilizing the people in room Number more accurately estimates thermic load, and by reflecting this high-precision thermic load estimated result in air conditioning, realizes high The air conditioning Energy Saving Control of effect.
[applying example]
In general, the operation ratio of the apparatus of air conditioning in building in cooling and heating the time by building outside The extreme influence of the number accommodated in external air temperature and humidity and building.
When the customer quantity of entrance is less, building is sold the CO2 concentration in room and is reduced, and when the customer quantity entered When larger, CO2 concentration increases.Under existing conditions, there is very big gap with legal CO2 concentration 1000ppm, and in many In the case of power consumption be more than it is necessary.
Therefore, in the present embodiment, the number in the enthalpy estimation room based on room air, and execute air conditioning control System.Number in room is the number (customer quantity and headcount of entrance) accommodated in building.In the present embodiment, base Number in the enthalpy estimation room of room air.However, digital intelligent energy conserving system 100 includes CO2 concentration sensor 113, And the result of Population size estimation in room can be supplemented based on the enthalpy with CO2 concentration.
As described above, digital intelligent energy conserving system 100 includes: enthalpy computing unit 121, input chamber according to the present embodiment The temperature and humidity of interior air, and input temp and humidity based on room air calculate total wet sky as room air The enthalpy of gas calorific value;And air conditioning control unit 120, air conditioning is controlled based on the enthalpy of calculated room air.
Therefore, air conditioning control can be changed according to the enthalpy of calculated room air, and energy conservation may be implemented.
In the present embodiment, digital intelligent energy conserving system 100 includes: room Population size estimation unit 122, is based on Interior Space Number in the enthalpy estimation room of gas;And air conditioning control unit 120, it is controlled based on the number in calculated room Air conditioning processed.
Therefore, can be big or small according to the number in room to change air conditioning control, and with it is the smallest must Energy is wanted to realize comfortable air conditioning.
Number in grasp room is usually highly difficult or needs high cost.For example, when as in convenient example using adopting With detection people the infrared sensor entered and left and/or camera image procossing when, need high cost.On the other hand, exist In the present embodiment, using the enthalpy calculated according to temperature and humidity, so as to easily be realized with low cost to number in room Grasp.Here, in most cases, in apparatus of air conditioning indoors etc., it is provided with the detection temperature of room air and wet The sensor of degree.In such a case, it is possible to avoid introducing new sensor, so as to reduce cost.
In convenient example, even if the number in room can be grasped, the thermic load between adult and children is also different, because This its be used to optimum air adjust control to be inappropriate.On the other hand, in the present embodiment, using according to temperature and humidity meter The enthalpy of calculation.Enthalpy is index relevant to thermic load, therefore very close to each other in index can be accurately realized optimal air conditioning Control.
In the present embodiment, digital intelligent energy conserving system 100 includes the CO2 concentration sensor 113 of measurement CO2 concentration, and And room Population size estimation unit 122 uses the CO2 concentration of measurement.
Therefore, it can more precisely estimate thermic load, and pass through the high-precision heat in reflection air conditioning control Load estimation as a result, it is possible to achieve efficient air conditioning Energy Saving Control.
Description given above is the explanation to the preferred embodiment of the present invention, and the scope of the present invention is not limited thereto, But example is modified and applied including other in the case where not departing from spirit of the invention described in claim.
For example, in heating period lower limit temperature can be set, and interim in cooling supply, ceiling temperature can be set, and Upper limit CO2 concentration can be set.When temperature or concentration are more than setting limit value, by releasing Energy Saving Control, can cosily control Environment processed is without excessively energy conservation.
The inside in room can be networked by Wi-Fi etc., and room temperature, humidity and enthalpy and additional building Energy state etc. can be transferred to the portable mobile terminal of related personnel, so that related personnel can refer to the letter at any time Breath, when temperature or concentration are more than setting limit value, by the way that, to mobile terminal, related personnel can be rung in real time by this notice It answers.
The present invention is described in detail in above-described embodiment in a manner of intelligible, and the present invention is not necessarily limited to include above-mentioned institute There is the embodiment of configuration.It can configure by the way that another embodiment is exemplary come a part of the exemplary configuration of alternative embodiment, and And the exemplary configuration of another embodiment can be added.Can be carried out to a part of the exemplary configuration of each embodiment other match The addition set, delete and replaced.
In the above-described embodiments, the title of digital intelligent energy conserving system and digital intelligent power saving method has been used, however, this It uses for ease of description a bit, the title of system can be replaced with energy-saving control apparatus, and the title of this method can To be replaced with air conditioning management method etc..
Above-mentioned air conditioning Energy Saving Control processing comes real also by the program for operating air conditioning Energy Saving Control processing It is existing.The program stores in a computer-readable storage medium.
The storage medium of logging program can be the ROM of the digital intelligent energy conserving system itself, be also possible to CD-ROM etc., It can be read by insertion program reading device (CD-ROM drive such as provided as External memory equipment).
Storage medium can be tape, cassette tape, floppy disk, hard disk and MO/MD/DVD etc. or semiconductor memory.
[industrial applicibility]
Digital intelligent energy conserving system according to the present invention, methods and procedures are such as in building by being applied to management The energy of the optimum state electric power to be consumed etc generates very big use effect to realize energy-efficient digital intelligent energy conserving system Fruit.
Reference signs list
100 digital intelligent energy conserving systems
101 air-conditionings
102 heat power supply devices
103 illuminations (lighting apparatus)
104 other equipment
110 Operations Analysis
111 temperature sensors
112 humidity sensors
113 CO2 concentration sensors (CO2 measurement of concetration device)
120 air conditioning control units (air conditioning controller with function part)
121 enthalpy computing units (enthalpy calculating device)
122 room Population size estimation units (room Population size estimation device)
123 databases
123a indoor heat load mode
Maximum power consumption data in the room 123b
131 air conditioning control devices (air conditioning controller with function part)

Claims (7)

1. a kind of digital intelligent energy conserving system comprising:
Enthalpy calculating device, the temperature and humidity of the enthalpy calculating device input room air, and the input temperature based on room air Degree and hygrometer can be regarded as the enthalpy of total humid air calorific value for room air;And
Air conditioning controller with function part, the air conditioning controller with function part is based on the room air calculated by the enthalpy calculating device Enthalpy controls air conditioning.
2. digital intelligent energy conserving system according to claim 1, wherein the air conditioning controller with function part is based on the enthalpy To control air conditioning and ventilation.
3. digital intelligent energy conserving system according to claim 1 comprising:
Room Population size estimation device, the room Population size estimation device is based on the room air calculated by the enthalpy calculating device Enthalpy estimates the number in room, wherein
Air conditioning controller with function part controls air based on by the number in the calculated room of room Population size estimation device It adjusts.
4. digital intelligent energy conserving system according to claim 3 comprising:
CO2 measurement of concetration device, CO2 concentration in the CO2 measurement of concetration device measuring chamber, wherein
The room Population size estimation device uses the CO2 concentration measured by the CO2 measurement of concetration device.
5. digital intelligent energy conserving system according to claim 1 or 3, wherein when the input temp of room air is more than setting When temperature, the air conditioning controller with function part releases its control.
6. a kind of digital intelligent power-economizing method comprising:
Enthalpy calculates step: inputting the temperature and humidity of room air, and input temp and humidity based on room air, calculates The enthalpy of total humid air calorific value as room air;And
Rate-determining steps: air conditioning is controlled based on the enthalpy for the room air that step calculates is calculated by enthalpy.
7. a kind of program for making computer that there is following function:
Digital intelligent energy conserving system comprising enthalpy calculating device, the temperature and humidity of the enthalpy calculating device input room air, And input temp based on room air and hygrometer can be regarded as the enthalpy of total humid air calorific value for room air;And air conditioning Control device, the air conditioning controller with function part control air based on the enthalpy of the room air calculated by the enthalpy calculating device It adjusts.
CN201680089192.5A 2016-09-12 2016-09-12 Digital intelligent energy conserving system, methods and procedures Pending CN109690200A (en)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/JP2016/076778 WO2018047328A1 (en) 2016-09-12 2016-09-12 Digital smart energy saving system, method, and program

Publications (1)

Publication Number Publication Date
CN109690200A true CN109690200A (en) 2019-04-26

Family

ID=58363172

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201680089192.5A Pending CN109690200A (en) 2016-09-12 2016-09-12 Digital intelligent energy conserving system, methods and procedures

Country Status (5)

Country Link
US (1) US20190376712A1 (en)
EP (1) EP3511638A4 (en)
JP (1) JP6099112B1 (en)
CN (1) CN109690200A (en)
WO (2) WO2018047328A1 (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109323409A (en) * 2018-09-30 2019-02-12 广东美的制冷设备有限公司 Air conditioner and its control method, device

Families Citing this family (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR102001975B1 (en) * 2017-04-28 2019-07-19 (주)미래비엠 Method for calculating building energy load considering occupants and method forevaluating building energy performance using the same
US11125478B2 (en) * 2018-02-26 2021-09-21 Mitsubishi Electric Corporation Air conditioning system
CN108375944A (en) * 2018-05-28 2018-08-07 南京乾海通信技术有限公司 A kind of novel section Zhi Danyuan
CN110925968B (en) * 2018-08-31 2021-02-26 珠海格力电器股份有限公司 Air conditioner control method and device and air conditioner
CN109214497B (en) * 2018-09-07 2021-06-29 珠海格力电器股份有限公司 People counting method and device, intelligent household equipment control method and device, and air conditioner
JP7243314B2 (en) * 2019-03-12 2023-03-22 三菱電機株式会社 ventilator
JP6635455B1 (en) * 2019-06-07 2020-01-22 株式会社 テクノミライ Digital smart air control system for store products
CN114789742A (en) * 2021-01-25 2022-07-26 湖南中车智行科技有限公司 Air conditioner air volume control method and device for vehicle
CN113587344B (en) * 2021-07-06 2022-06-10 珠海格力电器股份有限公司 Air conditioner fresh air volume control method and device and air conditioner
CN114384948B (en) * 2022-01-13 2023-04-28 北京小米移动软件有限公司 Equipment control method, device, electronic equipment and storage medium
CN115079589B (en) * 2022-08-24 2022-11-11 深圳泛和科技有限公司 Park management method, device, system, electronic equipment and computer readable medium

Citations (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2003287240A (en) * 2002-03-26 2003-10-10 Dae Sung Youn Air-conditioner
CN1680756A (en) * 2004-04-08 2005-10-12 东莞市广大制冷有限公司 Precisive module regulating method of air conditioner
CN101354172A (en) * 2007-07-24 2009-01-28 株式会社山武 Air conditioner control system and method
CN101925786A (en) * 2008-01-28 2010-12-22 株式会社东芝 Air conditioning control system
CN101922783A (en) * 2010-07-28 2010-12-22 重庆市同方科技发展有限公司 Enthalpy control-based method and system for controlling energy conservation of air conditioner
CN201827977U (en) * 2010-10-22 2011-05-11 东莞市广大制冷有限公司 High-precision household air conditioner
CN103836760A (en) * 2012-11-21 2014-06-04 杨红春 Central ventilation system control method and control assembly
KR101524735B1 (en) * 2014-04-10 2015-06-01 현대건설 주식회사 Integrated control method using air quality control, Enthalpy control and duty cycle control of a building HVAC system
JP2015148412A (en) * 2014-02-07 2015-08-20 株式会社日立製作所 Desiccant air conditioning system and method for controlling the desiccant air conditioning system
JP2015152179A (en) * 2014-02-10 2015-08-24 株式会社東芝 Thermal load estimation device and air conditioning control system
CN105180322A (en) * 2015-08-31 2015-12-23 广东美的制冷设备有限公司 Humidity storage device, control method of humidity storage device and air conditioner
US20160116512A1 (en) * 2014-10-28 2016-04-28 Korea Electronics Technology Institute Method and system for monitoring energy consumption

Family Cites Families (19)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH06109351A (en) * 1992-09-24 1994-04-19 Fuji Electric Co Ltd Operation controller for showcase
JPH06109350A (en) * 1992-09-24 1994-04-19 Fuji Electric Co Ltd Temperature controller for showcase
DE19632059C2 (en) * 1996-08-09 1999-10-14 Mannesmann Vdo Ag Method and arrangement for mixed air control of a heating / air conditioning system of a motor vehicle
US20030181158A1 (en) * 2002-01-31 2003-09-25 Edwards Systems Technology, Inc. Economizer control
KR101483416B1 (en) * 2006-03-30 2015-01-16 에스코 코포레이션 Wear assembly
US7827813B2 (en) * 2007-01-30 2010-11-09 Johnson Controls Technology Company Adaptive real-time optimization control
JP5188324B2 (en) * 2008-08-27 2013-04-24 アズビル株式会社 Air conditioner control system
JP2010249492A (en) * 2009-03-23 2010-11-04 Sanyo Electric Co Ltd Ventilation amount estimating computing system and ventilation amount estimating computing unit
US8515584B2 (en) * 2009-08-20 2013-08-20 Transformative Wave Technologies Llc Energy reducing retrofit method for a constant volume HVAC system
JP5478286B2 (en) * 2010-02-03 2014-04-23 アズビル株式会社 Air conditioning control method and apparatus
US20120031984A1 (en) * 2010-08-03 2012-02-09 Massachusetts Institute Of Technology Personalized Building Comfort Control
CN104254741B (en) * 2012-01-10 2017-07-07 恩弗里德系统公司 For the method and system that the air quality and energy that manage in air-conditioning system are used
JP5310881B2 (en) * 2012-01-12 2013-10-09 ダイキン工業株式会社 Air conditioning controller
JP6136388B2 (en) * 2012-03-13 2017-05-31 大成建設株式会社 Energy-saving air conditioning system
CN105143780B (en) * 2013-04-15 2017-11-17 三菱电机株式会社 Air-conditioning system control device
JP2015148413A (en) * 2014-02-07 2015-08-20 株式会社日立製作所 Desiccant air conditioning system and control method for the same
KR20160042669A (en) * 2014-10-10 2016-04-20 엘지전자 주식회사 Central control apparatus for controlling facilities, facility control system comprising the same, and method for controlling facilities
KR101641258B1 (en) * 2014-10-10 2016-07-20 엘지전자 주식회사 Central control apparatus for controlling facilities, facility control system comprising the same, and method for controlling facilities
KR101649658B1 (en) * 2014-10-10 2016-08-19 엘지전자 주식회사 Central control apparatus for controlling facilities, facility control system comprising the same, and method for controlling facilities

Patent Citations (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2003287240A (en) * 2002-03-26 2003-10-10 Dae Sung Youn Air-conditioner
CN1680756A (en) * 2004-04-08 2005-10-12 东莞市广大制冷有限公司 Precisive module regulating method of air conditioner
CN101354172A (en) * 2007-07-24 2009-01-28 株式会社山武 Air conditioner control system and method
CN101925786A (en) * 2008-01-28 2010-12-22 株式会社东芝 Air conditioning control system
CN101922783A (en) * 2010-07-28 2010-12-22 重庆市同方科技发展有限公司 Enthalpy control-based method and system for controlling energy conservation of air conditioner
CN201827977U (en) * 2010-10-22 2011-05-11 东莞市广大制冷有限公司 High-precision household air conditioner
CN103836760A (en) * 2012-11-21 2014-06-04 杨红春 Central ventilation system control method and control assembly
JP2015148412A (en) * 2014-02-07 2015-08-20 株式会社日立製作所 Desiccant air conditioning system and method for controlling the desiccant air conditioning system
JP2015152179A (en) * 2014-02-10 2015-08-24 株式会社東芝 Thermal load estimation device and air conditioning control system
KR101524735B1 (en) * 2014-04-10 2015-06-01 현대건설 주식회사 Integrated control method using air quality control, Enthalpy control and duty cycle control of a building HVAC system
US20160116512A1 (en) * 2014-10-28 2016-04-28 Korea Electronics Technology Institute Method and system for monitoring energy consumption
CN105180322A (en) * 2015-08-31 2015-12-23 广东美的制冷设备有限公司 Humidity storage device, control method of humidity storage device and air conditioner

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109323409A (en) * 2018-09-30 2019-02-12 广东美的制冷设备有限公司 Air conditioner and its control method, device

Also Published As

Publication number Publication date
WO2018047328A1 (en) 2018-03-15
EP3511638A4 (en) 2019-10-09
JPWO2018047328A1 (en) 2018-09-06
EP3511638A1 (en) 2019-07-17
WO2018047362A1 (en) 2018-03-15
JP6099112B1 (en) 2017-03-22
US20190376712A1 (en) 2019-12-12

Similar Documents

Publication Publication Date Title
CN109690200A (en) Digital intelligent energy conserving system, methods and procedures
Chao et al. Development of a dual-mode demand control ventilation strategy for indoor air quality control and energy saving
Fernandez et al. Impacts of commercial building controls on energy savings and peak load reduction
RU2141081C1 (en) Method and device for control of levels of artificial microclimate characteristics in room
CN105980786B (en) Thermic load estimating unit and air-conditioner control system
US10083408B2 (en) Energy conservation unit and system of a building by way of interactive learning
JP5570847B2 (en) Insulation performance measurement system
US20100114550A1 (en) Modeling Device, Simulation Device, Modeling Program, Simulation Program, Method for Using Heat Balance Model, and System for Using Heat Balance Model
Čongradac et al. Methods for assessing energy savings in hospitals using various control techniques
KR102151260B1 (en) Building automation system with fine dust detector
Goel et al. Ansi/ashrae/ies standard 90.1-2016 performance rating method reference manual
JP2004301505A (en) Air-conditioning controller
Sharma et al. Compare energy use in variable refrigerant flow heat pumps field demonstration and computer model
JP2004234302A (en) Process management device
JP7090466B2 (en) Controls, air conditioners, air conditioning systems, air conditioner control methods and programs
CA2606067A1 (en) System and method for estimating temperature drift and drive curves
JP5705348B1 (en) Air conditioning system advice device
Williamson et al. Field performance of inverter-driven heat pumps in cold climates
JP4917866B2 (en) Season judgment method
Goel et al. ANSI/ASHRAE/IES Standard 90.1-2010 Performance Rating Method Reference Manual
TWI470466B (en) Managing system configured for regulation and control of air-conditioning equipment and integrated with information system
Gao et al. An experimental study of energy consumption and thermal comfort for electric and hydronic reheats
Yik et al. A climatic variable for constructing thermal performance lines for air-conditioned commercial buildings in Hong Kong
Bible Modeling building energy use and hvac efficiency improvements in extreme hot and humid regions
Tsang et al. Carbon Footprint Analysis at the Operation Phase in a Student Residential Hall in Hong Kong

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
WD01 Invention patent application deemed withdrawn after publication
WD01 Invention patent application deemed withdrawn after publication

Application publication date: 20190426